Systems and Methods for Driver and Vehicle Tracking

ABSTRACT

Systems and methods for driver and vehicle tracking in accordance with embodiments of the invention are disclosed. In one embodiment of the invention, a location tracking system includes a processor and a memory storing a location tracking application, wherein the location tracking application directs the processor to obtain vehicle location data, where the vehicle location data includes a set of vehicle location data points, obtain driver location data, where the driver location data includes a set of driver location data points, correlate the vehicle location data and the driver location data, and generate vehicle driver data based on the correlated vehicle location data and driver location data, where the generated vehicle driver data includes a set of drivers associated with a vehicle.

FIELD OF THE INVENTION

The present invention relates to location tracking and more specificallyto tracking the location of vehicle and drivers.

BACKGROUND

A Global Positioning System (GPS) is a space-based global navigationsatellite system that utilizes a network of geo-synchronous satellitesthat can be utilized by a GPS receiver to determine its location. Manytelematics systems incorporate a Global Positioning System (GPS)receiver that can be used to obtain the location of a vehicle at acertain measured time. Using the signals received by the GPS receiver,the heading information of the vehicle can be determined. A GPS receivercan determine velocity information in a variety of ways including, butnot limited to, measuring the Doppler shift of the received signals andby comparing the location of a vehicle at a plurality of measured times.The acceleration of the vehicle can be determined as the change in speeddivided by the time between the measurements. A GPS receiver's abilityto determine acceleration can be limited due to the dependence of themeasurement upon factors such as, but not limited to, reception andsatellite availability. In addition to location information, a GPSreceiver can also be configured to provide time data. However,measurements determined via a GPS receiver can contain errors thataffect the accuracy of the measured information. In particular, GPSsignals are vulnerable to signal delays, inconsistencies of atmosphericconditions that affect the speed of the GPS signals as they pass throughthe Earth's atmosphere, and multipath distortions. Additionally, otherfactors not listed above can influence GPS signals and result inmeasurement errors.

Telematics is the integrated use of telecommunications and informatics.Telematics units are installed in vehicles to provide a variety oftelematics functionality in the vehicle. This functionality includes,but is not limited to, emergency warning systems, navigationfunctionality, safety warnings, and automated driving assistance.Telematics units are also capable of recording data related to theoperation of the vehicle and providing that information for analysis,whether in real-time or during a time when the vehicle is beingserviced. This information can be used in a variety of applications,such as fleet tracking, shipment tracking, insurance calculations, andin vehicle management and service.

SUMMARY OF THE INVENTION

Systems and methods for driver and vehicle tracking in accordance withembodiments of the invention are disclosed. In one embodiment of theinvention, a location tracking system includes a processor and a memorystoring a location tracking application, wherein the location trackingapplication directs the processor to obtain vehicle location data, wherethe vehicle location data includes a set of vehicle location datapoints, obtain driver location data, where the driver location dataincludes a set of driver location data points, correlate the vehiclelocation data and the driver location data, and generate vehicle driverdata based on the correlated vehicle location data and driver locationdata, where the generated vehicle driver data includes a set of driversassociated with a vehicle.

In an additional embodiment of the invention, the location trackingapplication directs the processor to obtain vehicle location data from avehicle location device.

In another embodiment of the invention, the location tracking systemfurther includes a network interface and the location trackingapplication directs the processor to obtain the vehicle location datausing the network interface.

In yet another additional embodiment of the invention, the locationtracking application directs the processor to obtain driver locationdata from a driver location device.

In still another additional embodiment of the invention, the locationtracking application directs the processor to correlate the vehiclelocation data and the driver location data based on overlapping locationdata points in the set of vehicle location data points and driverlocation data points.

In yet still another additional embodiment of the invention, the vehiclelocation data further includes a vehicle location sampling rate, thedriver location data further includes a driver location sampling rate,and the correlation of the overlapping location data points is based onthe vehicle location sampling rate and the driver location samplingrate.

In yet another embodiment of the invention, the driver location samplingrate is greater than the vehicle location sampling rate.

In still another embodiment of the invention, the driver locationsampling rate is greater than or equal to double the vehicle locationsampling rate.

In yet still another embodiment of the invention, the driver locationdata further includes driver identification data uniquely identifyingthe driver and the vehicle driver data further includes the driveridentification data.

In yet another additional embodiment of the invention, the locationtracking application directs the processor to correlate the vehiclelocation and the driver location data by calculating vehicle route databased on the vehicle location data, where the vehicle route dataincludes a path describing the route taken by the vehicle, calculatingdriver route data based on the driver location data, where the driverroute data includes a path describing the route taken by the driver,computing a similarity score based on the vehicle route data and thedriver route data, and when the similarity score exceeds a thresholdvalue, determine that the vehicle location data and the driver locationdata are correlated.

Still another embodiment of the invention includes aA method forassociating drivers with vehicles, including obtaining vehicle locationdata using a location tracking system, where the vehicle location dataincludes a set of vehicle location data points, obtaining driverlocation data using the location tracking system, where the driverlocation data includes a set of driver location data points, correlatingthe vehicle location data and the driver location data using thelocation tracking system, and generating vehicle driver data based onthe correlated vehicle location data and driver location data using thelocation tracking system, where the generated vehicle driver dataincludes a set of drivers associated with a vehicle.

In yet another additional embodiment of the invention, the vehiclelocation data is obtained from a vehicle location device.

In still another additional embodiment of the invention, the locationtracking system includes a network interface and the method includesobtaining the vehicle location data using the network interface.

In yet still another additional embodiment of the invention, the driverlocation data is obtained from a driver location device.

In yet another embodiment of the invention, the method further includescorrelating the vehicle location data and the driver location data basedon overlapping location data points in the set of vehicle location datapoints and driver location data points using the location trackingsystem.

In still another embodiment of the invention, the vehicle location datafurther includes a vehicle location sampling rate, the driver locationdata further includes a driver location sampling rate, and correlatingthe overlapping location data points is based on the vehicle locationsampling rate and the driver location sampling rate.

In yet still another embodiment of the invention, the driver locationsampling rate is greater than the vehicle location sampling rate.

In yet another additional embodiment of the invention, the driverlocation sampling rate is greater than or equal to double the vehiclelocation sampling rate.

In still another additional embodiment of the invention, the driverlocation data further includes driver identification data uniquelyidentifying the driver and the vehicle driver data further includes thedriver identification data.

In yet still another additional embodiment of the invention, the methodfurther includes correlating the vehicle location and the driverlocation data by calculating vehicle route data based on the vehiclelocation data using the location tracking system, where the vehicleroute data includes a path describing the route taken by the vehicle,calculating driver route data based on the driver location data usingthe location tracking system, where the driver route data includes apath describing the route taken by the driver, computing a similarityscore based on the vehicle route data and the driver route data usingthe location tracking system, and when the similarity score exceeds athreshold value, determining that the vehicle location data and thedriver location data are correlated using the location tracking system.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a conceptual illustration of a location tracking system inaccordance with an embodiment of the invention.

FIG. 2 is a conceptual illustration of a location tracking server systemin accordance with an embodiment of the invention.

FIG. 3 is a flow chart illustrating a process for tracking vehicles anddrivers in accordance with an embodiment of the invention.

FIG. 4 is a flow chart illustrating a process for generating vehiclelocation data in accordance with an embodiment of the invention.

FIG. 5 is a flow chart illustrating a process for generating driverlocation data in accordance with an embodiment of the invention.

FIG. 6 is a flow chart illustrating a process for correlating driverlocation data and vehicle location data in accordance with an embodimentof the invention.

DETAILED DESCRIPTION

Turning now to the drawings, systems and methods for driver and vehicletracking in accordance with embodiments of the invention are disclosed.Automatic vehicle location (AVL) devices (i.e. telematics units) arecommonly employed in the management of fleets of vehicles. Manycompanies employ AVL devices and software tracking products thatautomatically track their fleet of vehicles. Additionally, companiesoften employ a number of drivers and these drivers can be assigned toany of a variety of vehicles on any given day. Furthermore, multipledrivers can be assigned to the same vehicle on the same day, either insuccession or at the same time. For example, two drivers can be assignedto a particularly long route so that one driver can sleep while theother drives the vehicle, thereby reducing the downtime of the vehicle.

Vehicle tracking systems in accordance with embodiments of the inventionidentify which drivers have been paired to which vehicles. Vehicletracking systems obtain location information regarding the vehicles anddrivers. The vehicle tracking systems can then correlate the driverlocation information with the vehicle location information in order toidentify the drivers associated with a particular vehicle. In this way,vehicle tracking systems can automatically associate drivers andvehicles without having a pre-defined assignment of drivers to vehicles.This helps reduce scheduling issues with respect to drivers and vehiclesalong with providing accurate tracking of drivers and vehicles. Vehicletracking system can also track the performance of individual drivers andvehicles. The tracked performance can include miles driven, routestaken, vehicles driven, stops made, total driving time, total rest time,vehicle condition, service intervals, and any other data as appropriateto the requirements of specific applications of the invention. In thisway, vehicle tracking systems allow drivers to be automatically pairedup with a vehicle when they head out to work. This reduces the overheadon companies that rotate their drivers across their vehicle fleet, etc.. . . while accurately tracking the performance of the drivers and/orvehicles.

Systems and methods for driver and vehicle tracking in accordance withembodiments of the invention are discussed below.

Location Tracking Systems

Location tracking systems can obtain location data describing thelocation of vehicles and drivers and identify the driver(s) associatedwith a particular vehicle. A conceptual diagram of a location trackingsystem in accordance with an embodiment of the invention is shown inFIG. 1. The location tracking system 100 includes a location trackingserver system 110, one or more vehicles 112, and driver location devicesincluding, but not limited to, mobile devices 134, tablet devices 132,and personal computers 130, communicating via a network 120. In avariety of embodiments, the network 120 is the Internet. In manyembodiments, the network 120 is a wired or wireless connection betweenthe vehicle tracking device in the vehicle, the driver locationdevice(s), and/or the location tracking server system 110. In a numberof embodiments, the location tracking server system 110 implementedusing a single server system. In several embodiments, the locationtracking server system 110 is implemented using multiple server systems.

A vehicle 112 includes at least one vehicle tracking device, such as anautomatic vehicle location system, that identifies the location of thelocation tracking device. In many embodiments, the vehicle trackingdevice utilizes the Global Positioning System (GPS) in order todetermine the location of the vehicle. However, it should be noted thatany location-determining techniques, such as cellular towertriangulation, wireless network geolocation techniques, and deadreckoning techniques, can be utilized as appropriate to the requirementsof specific applications of embodiments of the invention. In manyembodiments, the vehicle tracking device includes a network device thatcommunicates via at least one network connection. This networkconnection can be a cellular (or any other wireless) data connectionand/or a wired connection as appropriate to the requirements of specificapplications of the invention. The vehicle tracking device utilize thenetwork device to transmit location data and/or any other metadataregarding the vehicle 112 as described in more detail below.

The driver location devices track the location of the driver. In manyembodiments, the driver location devices utilize techniques similar tothose described with respect to the vehicle tracking devices in order todetermine the location of the driver along with any of a variety ofmetadata describing the driver, the driver's location, and/orperformance information related to the driver. In a number ofembodiments, driver location devices include a network device thatcommunicates via one or more networks. In several embodiments, driverlocation devices connect to vehicle tracking devices and utilize anetwork connection provided by the vehicle tracking device to transmitdriver location data. Similarly, vehicle tracking devices can connect todriver location devices to transmit vehicle location data. Thisconnection can be any data connection, including wired and wirelessconnections, as appropriate to the requirements of specific applicationsof embodiments of the invention. Additionally, driver location devicesand/or vehicle location devices can cache driver location data and/orvehicle location data and transmit data once a network connectionbecomes available.

The location tracking system 110 obtains vehicle location data anddriver location data describing the location (and other metadata) of thevehicles and drivers. The location tracking system 110 generates vehicledriver data describing the associations of drivers and vehicles alongwith any of a variety of performance data utilizing any of a variety oflocation tracking processes, such as but not limited to those describedherein. In a variety of embodiments, the location tracking system 110provides a user interface allowing for visualizing and interacting withthe data. In several embodiments, the location tracking system providesan interface, such as an application programming interface (API) or webservice, that provides some or all of the data to third-party systemsfor further processing. Access to the interface can be open and/orsecured using any of a variety of techniques, such as by using clientauthorization keys, as appropriate to the requirements of specificapplications of the invention.

Although a specific architecture of a location tracking system inaccordance with embodiments of the invention are discussed above andillustrated in FIG. 1, a variety of architectures, including locationdevices and techniques not specifically named, can be utilized inaccordance with embodiments of the invention.

Location Tracking Server Systems

Location tracking server systems in accordance with embodiments of theinvention obtain location information for vehicles and drivers anddetermines associations between the vehicles and the drivers who aredriving the vehicles. Additionally, location tracking server systems canmeasure performance information with respect to the vehicles and/or thedrivers. A conceptual illustration of a location tracking server systemin accordance with an embodiment of the invention is shown in FIG. 2.The location tracking server system 200 includes a processor 210 incommunication with memory 230. The location tracking server system 200also includes a network interface 220 configured to send and receivedata over a network connection. In a number of embodiments, the networkinterface 220 is in communication with the processor 210 and/or thememory 230. In several embodiments, the memory 230 is any form ofstorage configured to store a variety of data, including, but notlimited to, a location tracking application 232, vehicle location data234, driver location data 236, and vehicle driver data 238. In manyembodiments, the location tracking application 232, vehicle locationdata 234, driver location data 236, and/or vehicle driver data 238 arestored using an external server system and received by the locationtracking server system 200 using the network interface 220.

The processor 210 is configured by the location tracking application 232to perform a variety of location tracking processes. Location trackingprocesses include obtaining vehicle location data and driver locationdata and generating vehicle driver data. A number of location trackingprocesses that can be performed in accordance with embodiments of theinvention are described in more detail below.

Vehicle location data 234 includes a set of geographic location data,time data, sampling rate data, vehicle identification data, and/or anyother data related to the vehicle and/or the location of the vehicle asappropriate to the requirements of specific applications of theinvention. Driver location data 236 includes, but is not limited to, aset of geographic location data, time data, sampling rate data, driveridentification data, and/or any other data related to the driver and/orthe location of the driver as appropriate to the requirements ofspecific applications of the invention. Vehicle driver data 238includes, but is not limited to, vehicle driver data describing a set ofdrivers associated with a vehicle, time data, location data, and/or anyother data related to the association of drivers and vehicles asappropriate to the requirements of specific applications of embodimentsof the invention.

Although a specific architecture for a location tracking server systemin accordance with an embodiment of the invention is conceptuallyillustrated in FIG. 2, any of a variety of architectures, includingthose that store data or applications on disk or some other form ofstorage and are loaded into memory at runtime, can also be utilized. Ina variety of embodiments, the memory 220 includes circuitry such as, butnot limited to, memory cells constructed using transistors, that areconfigured to store instructions. Similarly, the processor 210 caninclude logic gates formed from transistors (or any other device) thatare configured to dynamically perform actions based on the instructionsstored in the memory. In several embodiments, the instructions areembodied in a configuration of logic gates within the processor toimplement and/or perform actions described by the instructions. In thisway, the systems and methods described herein can be performed utilizingboth general-purpose computing hardware and by single-purpose devices.

Tracking Vehicles and Drivers

Location tracking processes can include obtaining vehicle location dataand driver location data. As described above, vehicle location dataand/or driver location data can be obtained from vehicle locationdevices and/or driver location devices. In several embodiments, driverlocation devices have a sampling rate describing how often the driverlocation device determines (and/or records) the location of the driver.Similarly, the vehicle location device can have its own sampling ratedescribing how often the vehicle location device determines (and/orrecords) the location of the vehicle. Additionally, the driver locationdata and/or vehicle location data can include time data for one or moreof the recorded locations indicating the time at which the location wasrecorded. In a number of embodiments, the driver location data and/orthe vehicle location data includes time data describing the start(and/or end) of location recording. Furthermore, the vehicle locationdata can include vehicle identification data describing the vehicle.Similarly, the driver location data can include driver identificationdata describing the driver.

In many embodiments, generating vehicle driver data includes correlatingthe location of a vehicle to the location of one or more drivers. In anumber of embodiments, this correlation includes determining overlappinglocation data points between the location of the vehicle and thelocation of the driver. In several embodiments, the sampling rate of thedriver location data is set to be twice that of the sampling rate of thevehicle location data. This sampling rate can be set on the device leveland/or location data from the vehicle location data and the driverlocation data can be subsampled at the appropriate rate. However, itshould be noted that any ratio of sampling rate, including those wherethe sampling rates are equal and those where the vehicle sampling rateexceeds the driver sampling rate, can be utilized as appropriate to therequirements of specific applications of the invention. Additionally, avariety of additional data, including the location data points, theproximity of the driver location data points and the vehicle locationdata points, speed and/or acceleration data associated with the locationdata points, and any other data can be utilized to correlate the variouslocation data points as appropriate to the requirements of specificapplications of the invention.

Many conditions can be measured to determine if a driver is correlatedwith a vehicle in accordance with embodiments of the invention,including if a threshold number of points are overlapping and if theroute taken by the vehicle is similar to the route taken by the driver.In a number of embodiments, the similarity of a vehicle route and adriver route is determined by measuring similarity of the paths tocalculate a similarity score describing the common features of therespective routes. The similarity score can then be compared to othersimilarity scores and/or threshold values in order to determine if theroutes are sufficiently correlated to identify the driver of a vehicle.Vehicle driver data can be generated based on the correlation of vehiclelocation data points and driver location data points. As describedabove, the vehicle driver data describes the driver(s) associated with aparticular vehicle based on the correlated location data and theidentification information describing the vehicles and drivers.Additionally, any additional data, such as time data and/or speed data,can be utilized to describe the performance of the driver and/or vehicleas appropriate to the requirements of specific applications ofembodiments of the invention.

A process for tracking vehicles and drivers in accordance with anembodiment of the invention is illustrated in FIG. 3. The process 300includes obtaining (310) vehicle location data, obtaining (312) driverlocation data, correlating (314) location data, and generating (316)vehicle driver data.

Although specific processes for tracking vehicles and drivers inaccordance with embodiments of the invention are described above withrespect to FIG. 3, any number of processes can be utilized asappropriate to the requirements of a specific application in accordancewith embodiments of the invention. Techniques for generating vehiclelocation data and driver location data in accordance with embodiments ofthe invention are described in more detail below.

Generating Vehicle Location Data

Vehicle location devices can determine the location of a vehicle over aparticular time frame. Many vehicle location devices in accordance withembodiments of the invention utilize a variety of techniques todetermine when a vehicle is moving or otherwise in order to betterdetermine the location of the vehicle. In a number of embodiments,vehicle location devices determine when a vehicle has started beforedetermining the location of the vehicle. Systems and methods for virtualignition detection that can be utilized in accordance with embodimentsof the invention are described in U.S. Pat. No. 8,489,271, issued Jul.16, 2013. In several embodiments, vehicle location devices can utilizethe acceleration of the vehicle as part of the location determinationprocess. Systems and methods for calibrating and determining theacceleration of a vehicle that can be utilized in accordance withembodiments of the invention are disclosed in U.S. Patent PublicationNo. 2013/0073142, published Mar. 21, 2013, U.S. Patent Publication No.2014/0236518, published Aug. 21, 2014, and U.S Patent Publication No.2014/0236519, published Aug. 21, 2014. In a variety of embodiments,acceleration events can be characterized to describe the performance ofthe driver and/or vehicle. Systems and methods for characterizingacceleration events that can be utilized in accordance with embodimentsof the invention are described in U.S. Patent Publication No.2014/0142886, published May 22, 2014. In many embodiments, particulardriving events can be detected along with the location at which thoseevents occurred. Systems and methods for detecting events and locationreporting that can be utilized in accordance with embodiments of theinvention are described in U.S. Patent Publication No. 2014/0111354,published Apr. 24, 2014. The disclosures of U.S. Pat. No. 8,489,271 andU.S. Patent Publication Nos. 2013/0073142, 2014/0111354, 2014/0142886,2014/0236518, and 2014/0236519 are hereby incorporated by reference intheir entirety. Some or all of the driving events, measured data,identification information, and/or any other metadata can be included invehicle location data as appropriate to the requirements of specificapplications of embodiments of the invention.

A process for generating vehicle location data in accordance with anembodiment of the invention is illustrated in FIG. 4. In manyembodiments, the process 400 includes allowing (410) vehicle locationtracking. The process 400 also includes determining (412) vehicleactivity, calculating (414) vehicle position data, generating (416)vehicle location data, and transmitting (418) vehicle location data.

Although specific processes for generating vehicle location data inaccordance with embodiments of the invention are described above withrespect to FIG. 4, any number of processes, including those that storevehicle location data on a vehicle location device and transmit the dataonce the location determining device is connected to a network or alocation tracking server system, can be utilized as appropriate to therequirements of a specific application in accordance with embodiments ofthe invention.

Generating Driver Location Data

As described above, driver location devices determine the location of adriver. In many embodiments, driver location devices obtain driver data(such as, but not limited to, the name of the driver and/or a uniquedriver identifier) and use that information to identify the driver. Forexample, a driver location device can include a software applicationthat the driver must sign into before the driver location device willbegin recording the driver's location. Additionally, the driver locationdevice can associate with a vehicle location device in the vehicle. Inseveral embodiments, this association is used to determine which driveris driving the vehicle at any given time, particularly in thoseembodiments where multiple drivers are located in the same vehicle. In anumber of embodiments, the pairing of vehicle location devices anddriver location devices includes synchronizing the devices, such as bysetting a common starting location, starting time, and/or samplingrates. Driver location devices can determine the location of a driverutilizing any of a variety of techniques, including those describedabove and those described in U.S. Pat. No. 8,489,271 and U.S. PatentPublication Nos. 2013/0073142, 2014/0111354, 2014/0142886, 2014/0236518,and 2014/0236519 incorporated by reference above.

A process for generating driver location data in accordance with anembodiment of the invention is illustrated in FIG. 5. In a number ofembodiments, the process 500 includes allowing (510) driver locationtracking and/or pairing (512) a driver location device with a vehiclelocation device. The process 500 also includes determining (514) driveractivity, calculating (516) driver location, generating (518) driverlocation data, and transmitting (520) driver location data.

Specific processes for generating driver location data in accordancewith embodiments of the invention are described above with respect toFIG. 5; however, any number of processes, including those that storedriver location data on a driver location device and transmit the dataonce the driver location device is connected to a network or a locationtracking server system, can be utilized as appropriate to therequirements of a specific application in accordance with embodiments ofthe invention.

Correlating Vehicle and Driver Data

As described above, generating driver vehicle data includes correlatingvehicle location data and driver location data. In many embodiments, avariety of metadata is used to supplement the location data provided inorder to differentiate between vehicles within close proximity to eachother. For example, vehicles may be stored in a parking garage havingmultiple levels and vehicles may be driven on surface and undergroundstreets along with multi-level bridges. Furthermore, different GPSdevices (particularly those from different manufacturers) may exhibitvarying degrees of accuracy with respect to the determined location andmay have differing drift characteristics. Additionally, a variety ofdriving behaviors can be determined based on the vehicle location dataand the driver location data and utilized to generate vehicle driverdata as appropriate to the specific applications in accordance withembodiments of the invention. In particular, techniques disclosed in thedisclosures of U.S. Pat. No. 8,489,271 and U.S. Patent Publication Nos.2013/0073142, 2014/0111354, 2014/0142886, 2014/0236518, and2014/0236519, incorporated by reference in their entirety above, can beutilized in many embodiments of the invention.

In several embodiments, driver location data and/or vehicle locationdata include metadata describing a change in direction of travel, hardacceleration (or declaration), and/or lateral acceleration, or any othermetadata describing driving behavior as appropriate to the requirementsof specific applications of the invention. In a variety of embodiments,a change in direction of travel is indicated by measuring the change inheading as described by multiple pieces of driver location data and/orvehicle location data. Any change in heading, such as greater than orequal to 30 degrees, can indicate a change in direction as appropriateto the requirements of specific applications of the invention. In manyembodiments, this metadata is sent in addition to driver location dataand/or vehicle location data sent out on a regular schedule utilizingtechniques similar to those described above.

This metadata can be utilized to correlate the driver location data andthe vehicle location data. In a number of embodiments, the correlationincludes compensating for differences in time and/or location. Inseveral embodiments, the driver location data and/or vehicle locationdata can be searched in order to identify corresponding driving events.Any search can be utilized, including geo-location searches, asappropriate to the requirements of specific applications of embodimentsof the invention. The geo-location search can be fine-tuned (or theresults of the search filtered by) a variety of metadata associated withthe vehicle location data and/or driver location data. This metadataincludes, but is not limited to, altitude data, heading data, accountdata, driver data, vehicle data, and/or any other metadata that can beused to narrow the correlation of vehicle location data and driverlocation data as appropriate to the requirements of specificapplications of the invention.

In the event that the above correlation and search results in multiplevehicles and/or multiple drivers so that a pairing cannot be determined,historical vehicle location data and/or driver location data (such asdata starting from the beginning of the trip) can be utilized to augmentthe data analysis. In this way, the entire trip can be analyzed toresolve potential ambiguities in particular portions of the travelroutes. In a variety of embodiments, this analysis includes fitting acurve to the location data and selecting the vehicle location curve andthe driver location curve that are the most similar as measured by anyof a variety of techniques, such as a confidence score and/or asimilarity score, as appropriate to the requirements of specificapplications of embodiments of the invention. However, if the historicaldata is insufficient to resolve the issues, additional driver locationdata and/or vehicle location data can be obtained in order to providemore data points for the analysis.

A process for correlating vehicle and driver data in accordance with anembodiment of the invention is illustrated in FIG. 6. The process 600includes obtaining (610) location data related to an event occurrence. Ageo-spatial search is performed (612) and, in a number of embodiments,the search results are filtered (614). Matching location data isidentified (616) and, if a vehicle and driver pairing is identified(618), vehicle driver data is generated. If a vehicle and driver pairingis not identified (618), additional data is obtained (610). Specificprocesses for generating vehicle driver data in accordance withembodiments of the invention are described above with respect to FIG. 6;however, any number of processes, including those that identify eventoccurrences utilizing techniques other than those described above, canbe utilized as appropriate to the requirements of a specific applicationin accordance with embodiments of the invention.

Although the present invention has been described in certain specificaspects, many additional modifications and variations would be apparentto those skilled in the art. In particular, any of the various processesdescribed above can be performed in alternative sequences and/or inparallel (on the same or on different computing devices) in order toachieve similar results in a manner that is more appropriate to therequirements of a specific application. It is therefore to be understoodthat the present invention can be practiced otherwise than specificallydescribed without departing from the scope and spirit of the presentinvention. Thus, embodiments of the present invention should beconsidered in all respects as illustrative and not restrictive.Accordingly, the scope of the invention should be determined not by theembodiments illustrated, but by the appended claims and theirequivalents.

What is claimed is:
 1. A location tracking system, comprising: aprocessor; and a memory storing a location tracking application; whereinthe location tracking application directs the processor to: obtainvehicle location data, where the vehicle location data comprises a setof vehicle location data points; obtain driver location data, where thedriver location data comprises a set of driver location data points;correlate the vehicle location data and the driver location data; andgenerate vehicle driver data based on the correlated vehicle locationdata and driver location data, where the generated vehicle driver datacomprises a set of drivers associated with a vehicle.
 2. The locationtracking system of claim 1, wherein the location tracking applicationdirects the processor to obtain vehicle location data from a vehiclelocation device.
 3. The location tracking system of claim 2, wherein:the location tracking system further comprises a network interface; andthe location tracking application directs the processor to obtain thevehicle location data using the network interface.
 4. The locationtracking system of claim 1, wherein the location tracking applicationdirects the processor to obtain driver location data from a driverlocation device.
 5. The location tracking system of claim 1, wherein thelocation tracking application directs the processor to correlate thevehicle location data and the driver location data based on overlappinglocation data points in the set of vehicle location data points anddriver location data points.
 6. The location tracking system of claim 5,wherein: the vehicle location data further comprises a vehicle locationsampling rate; the driver location data further comprises a driverlocation sampling rate; and the correlation of the overlapping locationdata points is based on the vehicle location sampling rate and thedriver location sampling rate.
 7. The location tracking system of claim6, wherein the driver location sampling rate is greater than the vehiclelocation sampling rate.
 8. The location tracking system of claim 7,wherein the driver location sampling rate is greater than or equal todouble the vehicle location sampling rate.
 9. The location trackingsystem of claim 1, wherein: the driver location data further comprisesdriver identification data uniquely identifying the driver; and thevehicle driver data further comprises the driver identification data.10. The location tracking system of claim 1, wherein the locationtracking application directs the processor to correlate the vehiclelocation and the driver location data by: calculating vehicle route databased on the vehicle location data, where the vehicle route datacomprises a path describing the route taken by the vehicle; calculatingdriver route data based on the driver location data, where the driverroute data comprises a path describing the route taken by the driver;computing a similarity score based on the vehicle route data and thedriver route data; and when the similarity score exceeds a thresholdvalue, determine that the vehicle location data and the driver locationdata are correlated.
 11. A method for associating drivers with vehicles,comprising: obtaining vehicle location data using a location trackingsystem, where the vehicle location data comprises a set of vehiclelocation data points; obtaining driver location data using the locationtracking system, where the driver location data comprises a set ofdriver location data points; correlating the vehicle location data andthe driver location data using the location tracking system; andgenerating vehicle driver data based on the correlated vehicle locationdata and driver location data using the location tracking system, wherethe generated vehicle driver data comprises a set of drivers associatedwith a vehicle.
 12. The method of claim 11, wherein the vehicle locationdata is obtained from a vehicle location device.
 13. The method of claim12, wherein: the location tracking system comprises a network interface;and the method includes obtaining the vehicle location data using thenetwork interface.
 14. The method of claim 11, wherein the driverlocation data is obtained from a driver location device.
 15. The methodof claim 11, further comprising correlating the vehicle location dataand the driver location data based on overlapping location data pointsin the set of vehicle location data points and driver location datapoints using the location tracking system.
 16. The method of claim 15,wherein: the vehicle location data further comprises a vehicle locationsampling rate; the driver location data further comprises a driverlocation sampling rate; and correlating the overlapping location datapoints is based on the vehicle location sampling rate and the driverlocation sampling rate.
 17. The method of claim 16, wherein the driverlocation sampling rate is greater than the vehicle location samplingrate.
 18. The method of claim 17, wherein the driver location samplingrate is greater than or equal to double the vehicle location samplingrate.
 19. The method of claim 11, wherein: the driver location datafurther comprises driver identification data uniquely identifying thedriver; and the vehicle driver data further comprises the driveridentification data.
 20. The method of claim 11, further comprisingcorrelating the vehicle location and the driver location data by:calculating vehicle route data based on the vehicle location data usingthe location tracking system, where the vehicle route data comprises apath describing the route taken by the vehicle; calculating driver routedata based on the driver location data using the location trackingsystem, where the driver route data comprises a path describing theroute taken by the driver; computing a similarity score based on thevehicle route data and the driver route data using the location trackingsystem; and when the similarity score exceeds a threshold value,determining that the vehicle location data and the driver location dataare correlated using the location tracking system.